Borrowing it
Nothing to install: this file belongs to StuMason/coolify-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/StuMason/coolify-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/StuMason/coolify-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/stumason/coolify-mcp/claude-md)<a href="https://agentmods.dev/instructions/stumason/coolify-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/stumason/coolify-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/stumason/coolify-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/stumason/coolify-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04621 | $0.04621 |
| Opus 5.5 | $0.01848 | $0.01848 |
| Sonnet 5.5 | $0.00924 | $0.00924 |
| Haiku 4.5 | $0.00462 | $0.00462 |
Grade A, and why
coolify-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 26d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
MCP (Model Context Protocol) server for Coolify that provides 46 token-optimized tools for AI assistants to manage infrastructure through natural language. Tools cover servers, projects, environments, applications, databases, services, deployments, private keys, teams, cloud tokens, documentation search, smart diagnostics, and batch operations. v2.0.0 reduced token usage by ~81% (from ~43,000 to ~8,300 tokens) by consolidating related operations into single tools with action parameters.
Commands
npm install # Install dependencies
npm run build # Build TypeScript to dist/
npm test # Run all tests
npm run lint # Run ESLint
npm run format # Run Prettier
# Run locally
COOLIFY_BASE_URL="https://your-coolify.com" COOLIFY_ACCESS_TOKEN="token" node dist/index.js
Evals & red teaming (evals/)
Self-contained package (own package.json/toolchain, like site/) that treats
tool descriptions as prompts and measures them. If you edit a tool's name,
description, schema or annotation, evals tool-contract snapshots will fail
until you review and npm run snapshots:update. Layers: (1) contract snapshots,
(2) tool-selection evals, (2b) outcome-scored task evals (npm run evals:tasks,
not run in CI), (3) prompt-injection regression, (4) promptfoo red team. All runs use a fixture backend that refuses to start if COOLIFY_URL
looks real. See evals/README.md; findings in evals/FINDINGS.md — note #4
(secret-exfiltration-via-log-injection on weak models, fixed: asUntrustedLogs
frames every model-facing log surface — logs, application_logs, diagnose_app,
diagnose_server validation output, and all deployment/deploy build output
(logs_tail, get, list_for_app) — as untrusted data, with a per-call nonce so
the boundary can't be forged;
5/5→0/5 leaks on Gemini) and
#5 (frontier models act on vague requests, validating the elicitation guard).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 26d ago Changed · +1 lines · +220 tokens per session 6698be712e72
- 28d ago Changed · +6 lines · +209 tokens per session b064369b0ce3
- 1mo ago Changed · +22 tokens per session 95978cb8f093
- 1mo ago Changed ec5cb053de16
- 1mo ago Changed · +3 lines · +466 tokens per session 8dbe54d39893
- 1mo ago Changed · +1 lines · +147 tokens per session f149bcfb5d82
- 1mo ago Changed · +21 tokens per session 21e8e2288007
- 2mo ago First seen · 187 lines · 3,536 tokens per session scan A 9b43a24a67f0
coolify-mcp CLAUDE.md is an instructions file published in the GitHub repository StuMason/coolify-mcp (618 stars, last pushed 2d ago), licensed MIT. It adds 4,621 tokens to every session, about $0.0185 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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